Creating a RAG Chat Assistant with MongoDB Atlas Vector Search, Google Cloud and Langchain Reviews

Chintan Harsukhbhai R. · Reviewed 3 months ago

GAORAV V. · Reviewed 3 months ago

Feridun H. · Reviewed 3 months ago

had trouble. will need to redo

Stephen A. · Reviewed 3 months ago

Stanimira V. · Reviewed 3 months ago

Matt R. · Reviewed 3 months ago

Jad C. · Reviewed 3 months ago

Richard K. · Reviewed 3 months ago

It has omissions that are critical like making sure to check RAG button when using the data from MongoDB and also whitelisting the cloudshell IP in Mongo Atlas for you to save and retrieve the embedded data.

John E. · Reviewed 3 months ago

Irina V. · Reviewed 3 months ago

Dvorah G. · Reviewed 3 months ago

Sam A. · Reviewed 3 months ago

na

Marco G. · Reviewed 3 months ago

Beheria J. · Reviewed 3 months ago

Nice lab, but I would have liked some visible options to earn points along the way before clicking End Lab, instead waiting until the lab is over.

Leo S. · Reviewed 3 months ago

Jeff D. · Reviewed 3 months ago

Michal M. · Reviewed 3 months ago

Tori C. · Reviewed 3 months ago

Danniel C. · Reviewed 3 months ago

Danniel C. · Reviewed 3 months ago

Andrii L. · Reviewed 3 months ago

Lubélio F. · Reviewed 3 months ago

Nice to see creation of embeddings, storage in MongoDB, and retrieval to give the chatbot more context.

Jonathan K. · Reviewed 3 months ago

Camden B. · Reviewed 3 months ago

Enrique S. · Reviewed 3 months ago